Principal Engineer - AI Search & Vector Infrastructure

About the role

We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you're welcome.) At Redis, you'll work with the fastest, simplest technology in the business-whether you're building it, telling its story, or selling it to our 10,000+ worldwide customers. We're creating a faster world with simpler experiences. You in? This is a unique opportunity to shape Redis capabilities for the AI era early in the cycle. We are looking for a highly experienced Principal Engineer to join the core Redis Search/AI organization and help define the architecture, technical strategy, and next-generation capabilities powering AI workloads at global scale. In this role, you will work on some of the hardest problems in modern AI infrastructure, including vector indexing, hybrid retrieval, distributed query execution, latency-critical serving, and large-scale system design. You will influence the direction of the platform across teams and play a key role in turning advanced research and emerging industry trends into production-ready capabilities used by millions of developers worldwide.

Responsibilities

• Drive the architecture and technical direction of Redis Search and Vector capabilities
• Design scalable and high-performance systems for vector search, retrieval, indexing, ranking, and AI serving workloads
• Lead complex cross-team initiatives spanning Redis Core, Cloud, AI, and infrastructure teams
• Partner with engineering and product leadership to define long-term strategy and roadmap
• Translate emerging industry trends and customer needs into platform capabilities and technical investments
• Lead technical design reviews and establish engineering best practices across the organization
• Solve deep performance and scalability challenges in distributed and storage systems
• Guide implementation of hardware-aware optimizations (e.g., SIMD, GPU, SSD, CUDA)
• Mentor senior engineers and help raise the technical bar across the engineering organization
• Represent Redis externally through design discussions, open source engagement, technical talks, or community leadership
• What you'll need to have
• Extensive experience designing and building large-scale distributed systems, databases, search engines, storage engines, or AI infrastructure platforms
• Strong industry background with experience at leading infrastructure, database, cloud, search, or AI-focused technology companies
• Proven track record leading architecture and delivering highly scalable production systems
• Deep expertise in one or more of the following areas:
• Vector search and information retrieval
• Distributed systems
• Storage engines and indexing
• High-performance systems and low-latency serving
• Strong proficiency in C/C++ or Rust, including concurrency, memory management, and performance optimization
• Ability to influence technical direction across multiple teams and organizations
• Excellent communication skills and ability to collaborate effectively with engineering, product, research, and leadership teams
• Bachelor's or Master's degree in Computer Science or equivalent practical experience
• Extra great if you have
• Experience building AI infrastructure or retrieval systems for large-scale production environments
• Familiarity with Redis internals or NoSQL database architectures
• Experience with open-source leadership or significant community contributions
• Background in high-performance multithreaded systems
• Experience optimizing systems using modern hardware acceleration technologies
• Experience mentoring senior technical leaders and scaling engineering organizations
• Any offer of employment at Redis is contingent upon the successful completion of a background check, consistent with applicable laws.
• Redis reserves the right to retain data longer than stated in the privacy poli

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at Redis? Share your experience